app.py

import gradio as gr
from fastai.vision.all import *
import skimage


learn = load_learner('model.pkl')
#from huggingface_hub import from_pretrained_fastai
#learn = from_pretrained_fastai("devdatanalytics/commonbean")

labels = learn.dls.vocab
def predict(img):
    img = PILImage.create(img)
    pred,pred_idx,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

#title = "Common beans diseases classfier"
#description = "An app for Common beans diseases Classisfication"
#article="<p style='text-align: center'>The app identifies and classifies common beans diseases: Anthracnose and Bean rust.</p>"
examples = ['image.jpeg']
interpretation='default'
enable_queue=True

gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()